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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 4-RES-JB
    6. 5000
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    INDEX
    Explanations

    mentions of the letter "A" with high activation values

    oai_token-act-pair · gpt-3.5-turbo

    the letter 'A' in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Vaugh
    -0.67
    enegger
    -0.65
     Alph
    -0.63
     Indigo
    -0.60
    reports
    -0.60
    email
    -0.59
     Nicaragua
    -0.58
     optics
    -0.57
     Everton
    -0.57
    Param
    -0.57
    POSITIVE LOGITS
    cknowled
    1.19
    verages
    1.18
    ussie
    1.17
    cknow
    1.11
    uctions
    1.10
    irst
    1.01
    lyss
    0.98
    roma
    0.98
    ryan
    0.96
    perture
    0.94
    Activations Density 0.105%

    No Known Activations